Enhancing Generic Skills Development in Higher Education in the Era of Large Language Model Artificial Intelligence
DOI:
https://doi.org/10.33423/jhetp.v24i3.6832Keywords:
higher education, artificial intelligence, large language models, ChatGPT, generic skills development, graduate employabilityAbstract
The recently developed large language model artificial intelligence (AI) systems, such as ChatGPT, are likely to become widely used over the next few years as core tools in many areas of business. Higher education graduates will need to be adequately prepared with the necessary generic skills to exploit this technology and a detailed understanding of the risks of using it and related ethical aspects to maximize their employability. Higher education institutions will need to develop training to support this and a conceptual multi-layer framework is proposed for generic skills development in higher education relevant to the emerging new era of large language model AI. This model encapsulates traditional generic skills training for employability, the extended skill sets needed for operating as independent knowledge-workers in increasingly fragmented working contexts, and the new sets of skills in areas such as prompt engineering, output verification and bias detection, which are needed specifically for operating as effective users of advanced AI systems in business.
References
AlAfnan, M.A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology. https://doi.org/10.37965/JAIT.2023.0184
Andrews, J., & Higson, H. (2008). Graduate employability, “soft skills” versus “hard” business knowledge: A European study. Higher Education in Europe, 33(4), 411–422. https://doi.org/10.1080/03797720802522627
Aranda, L., Mena-Rodríguez, E., & Rubio, L. (2022). Basic skills in higher education: An analysis of attributed importance. Frontiers in Psychology, 13, 143. https://doi.org/10.3389/FPSYG.2022.752248/BIBTEX
Asonitou, S. (2015). Employability skills in higher education and the case of Greece. Procedia - Social and Behavioral Sciences, 175, 283–290. https://doi.org/10.1016/j.sbspro.2015.01.1202
Boahin, P. (2018). The changing nature or work and employability skills development in higher education institutions in Ghana. European Journal of Educational and Development Psychology, 6(3), 21–32. Retrieved from www.eajournals.org
Boden, R., & Nedeva, M. (2010). Employing discourse: Universities and graduate “employability.” Journal of Education Policy, 25(1), 37–54. https://doi.org/10.1080/02680930903349489
Brundiers, K., & Wiek, A. (2017). Beyond interpersonal competence: Teaching and learning professional skills in sustainability. Education Sciences, 7(39).
Burger, B., Kanbach, D.K., Kraus, S., Breier, M., & Corvello, V. (2023). On the use of AI-based tools like ChatGPT to support management research. European Journal of Innovation Management, 26(7), 233–241. https://doi.org/10.1108/EJIM-02-2023-0156
Cappelli, P.H. (2015). Skill gaps, skill shortages, and skill mismatches: Evidence and arguments for the United States. Industrial and Labor Relations Review, 68(2), 251–290. https://doi.org/10.1177/0019793914564961
Cascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023). Evaluating the feasibility of ChatGPT in healthcare: An analysis of multiple clinical and research scenarios. Journal of Medical Systems, 47(33). https://doi.org/10.1007/S10916-023-01925-4
Chamorro-Premuzic, T., Arteche, A., Bremner, A.J., Greven, C., & Furnham, A. (2010). Soft skills in higher education: Importance and improvement ratings as a function of individual differences and academic performance. Educational Psychology, 30(2), 221–241. https://doi.org/10.1080/01443410903560278
Chow, J.C.L., Sanders, L., & Li, K. (2023). Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/FRAI.2023.1166014
Clanchy, J., & Ballard, B. (1995). Generic skills in the context of higher education. Higher Education Research & Development, 14(2), 155–166. https://doi.org/10.1080/0729436950140202
Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology. https://doi.org/10.1007/S10956-023-10039-Y
Cornalli, F. (2018). Training and developing soft skills in higher education. 4th International Conference on Higher Education Advances, pp. 961–967. https://doi.org/10.4995/HEAD18.2018.8127
Crebert, G., Bates, M., Bell, B., Patrick, C.J., & Cragnolini, V. (2004). Developing generic skills at university, during work placement and in employment: Graduates’ perceptions. Higher Education Research and Development, 23(2), 147–165. https://doi.org/10.1080/0729436042000206636
De Prada, E., Mareque, M., & Pino-Juste, M. (2022). Teamwork skills in higher education: Is university training contributing to their mastery? Psicologia: Reflexao e Critica, 35(1), 1–13. https://doi.org/10.1186/S41155-022-00207-1/TABLES/6
DePillis, L., & Lohr, S. (2023). Tinkering with ChatGPT, workers wonder: Will this take my job? The New York Times. Retrieved from https://www.nytimes.com/2023/03/28/business/economy/jobs-ai-artificial-intelligence-chatgpt.html
Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., . . . Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/J.IJINFOMGT.2023.102642
Emin Bakay, M. (2022). 21st century skills for higher education students in EU countries: Perception of academicians and HR managers. International Education Studies, 15(2), 14–24. https://doi.org/10.5539/ies.v15n2p14
European Commission. (2021). Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain union legislative acts. Retrieved from https://eur-lex.europa.eu/resource.html?uri=cellar:e0649735-a372-11eb-9585-01aa75ed71a1.0001.02/DOC_1&format=PDF
Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A.M.A., & Hatta, H.R. (2023). Analysing the role of ChatGPT in improving student productivity in higher education. Journal on Education, 5(4), 14886–14891. https://doi.org/10.31004/JOE.V5I4.2563
Floridi, L. (2023). AI as Agency without Intelligence: On ChatGPT, large language models, and other generative models. Philosophy and Technology, 36.
Hassani, H., & Silva, E.S. (2023). The role of ChatGPT in data science: How AI-assisted conversational interfaces are revolutionizing the field. Big Data and Cognitive Computing, 7(2), 62. https://doi.org/10.3390/BDCC7020062
Jackson, D. (2010). An international profile of industry-relevant competencies and skill gaps in modern graduates. The International Journal of Management Education, 8(3), 29–58. https://doi.org/10.3794/IJME.83.288
Jackson, D. (2012). Business undergraduates’ perceptions of their capabilities in employability skills: Implications for industry and higher education. Industry and Higher Education, 26(5), 345–356. https://doi.org/10.5367/IHE.2012.0117
Jackson, D. (2015). Employability skill development in work-integrated learning: Barriers and best practice. Studies in Higher Education, 40(2), 350–367. https://doi.org/10.1080/03075079.2013.842221
Kornelakis, A., & Petrakaki, D. (2020). Embedding employability skills in UK higher education: Between digitalization and marketization. Industry and Higher Education, 34(5), 290–297. https://doi.org/10.1177/0950422220902978
Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., . . . Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: Analysis of ChatGPT. Central European Management Journal. https://doi.org/10.1108/CEMJ-02-2023-0091
Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: Ethical challenges for medical publishing. The Lancet Digital Health, 5, e105–e106. https://doi.org/10.1016/S2589-7500(23)00019-5
Lim, W.M., Gunasekara, A., Pallant, J.L., Pallant, J.I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2), 100790. https://doi.org/10.1016/J.IJME.2023.100790
Lund, B.D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News. https://doi.org/10.1108/LHTN-01-2023-0009
Lund, B.D., Wang, T., Mannuru, N.R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: AI-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74(5), 570–581.
Mondal, S., Das, S., & Vrana, V.G. (2023). How to bell the cat? A theoretical review of generative artificial intelligence towards digital disruption in all walks of life. Technologies, 11(2), 44. https://doi.org/10.3390/TECHNOLOGIES11020044
National Institute of Standards and Technology. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). Retrieved from https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf
Nelson, B. (2021, October 4). How higher education can do better at developing skills for the workplace | THE Campus Learn, Share, Connect. Times Higher Education Campus. Retrieved from https://www.timeshighereducation.com/campus/how-higher-education-can-do-better-developing-skills-workplace
Nowotny, H. (2021). In AI We Trust - Power, Illusion and Control of Predictive Algorithms. Polity Press.
O’Connor, A., Buckley, J., Seery, N., & Cleveland-Innes, M. (2016). Identifying, developing and grading “soft skills” in higher education: A technological approach. Higher Education in Transformation Symposium. Retrieved from https://arrow.tudublin.ie/heit164
Okolie, U.C., Igwe, P.A., Nwosu, H.E., Eneje, B.C., & Mlanga, S. (2019). Enhancing graduate employability: Why do higher education institutions have problems with teaching generic skills? Policy Futures in Education, 18(2), 294–313. https://doi.org/10.1177/1478210319864824
PDPC. (2020). Model Artificial Intelligence Governance Framework: Second Edition (Personal Data Protection Commission of Singapore). Retrieved from https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/resource-for-organisation/ai/sgmodelaigovframework2.pdf
Pereira, O. (2013). Soft skills: From university to the work environment. Analysis of a survey of graduates in Portugal. Regional and Sectoral Economic Studies, 13(1), 105–118.
Pitan, O.S. (2017). Graduate employees’ generic skills and training needs. Higher Education, Skills and Work-Based Learning, 7(3), 290–303. https://doi.org/10.1108/heswbl-04-2017-0026
Robles, M.M. (2012). Executive perceptions of the top 10 soft skills needed in today’s workplace. Business Communication Quarterly, 75(4), 453–465. https://doi.org/10.1177/1080569912460400
Rosenberg, S., Heimler, R., & Morote, E. (2012). Basic employability skills: A triangular design approach. Education + Training, 54(1), 7–20. https://doi.org/10.1108/00400911211198869
Rospigliosi, P.A. (2023). Artificial intelligence in teaching and learning: What questions should we ask of ChatGPT? Interactive Learning Environments, 31(1), 1–3. https://doi.org/10.1080/10494820.2023.2180191
Roth, H. (2023). AI Prompt Masterbook: Over 800 prompt examples for ChatGPT, Midjourney & Stable Diffusion: Learn from the best prompt example lists for AI image & text generators the art of prompting. Amazon Kindle.
Rotman, D. (2023, March 25). How ChatGPT will revolutionize the economy. We need to decide what that looks like. MIT Technology Review. Retrieved from https://www.technologyreview.com/2023/03/25/1070275/chatgpt-revolutionize-economy-decide-what-looks-like/
Russell, S. (2023, April 2). AI has much to offer humanity. It could also wreak terrible harm. It must be controlled. The Observer.
Shaji George, A., Hovan George, A.S., & Gabrio Martin, A.S. (2023). A review of ChatGPT AI’s impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9–23. Retrieved from https://www.researchgate.net/publication/368662952_A_Review_of_ChatGPT_AI%27s_Impact_on_Several_Business_Sectors
Singh, P., Thambusamy, R.X., & Ramly, M.A. (2014). Fit or unfit? Perspectives of employers and university instructors of graduates’ generic skills. Procedia - Social and Behavioral Sciences, 123, 315–324. https://doi.org/10.1016/J.SBSPRO.2014.01.1429
Stokel-Walker, C., & Van Noorden, R. (2023). What ChatGPT and generative AI mean for science. Nature, 614, 214–216.
Tastanbekova, N., Abenova, B., Yessekeshova, M., Sagaliyeva, Z., & Abildina, G. (2021). Development of professional skills in the context of higher school dual education. International Journal of Emerging Technologies in Learning (IJET), 16(10), 179–193. https://doi.org/10.3991/IJET.V16I10.19373
Thorp, H.H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313. https://doi.org/10.1126/science.adg7879
Tran, T.T. (2013). Limitation on the development of skills in higher education in Vietnam. Higher Education, 65, 631–644. Retrieved from https://www.jstor.org/stable/23473516
Truong, K.N., Hayes, G.R., & Abowd, G.D. (2006). Storyboarding: An empirical determination of best practices and effective guidelines. Proceedings of the 6th Conference on Designing Interactive Systems, pp. 12–21. https://doi.org/10.1145/1142405.1142410
Tull, S. (2023). The Power of Prompting: Mastering the Art of Prompt Engineering with ChatGPT. Amazon Kindle.
Tuononen, T., Hyytinen, H., Kleemola, K., Hailikari, T., Mannikko, L., & Toom, A. (2022). Systematic review of learning generic skills in higher education — Enhancing and impeding factors. Frontiers in Education, 7, 1–13.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., . . . Polosukhin, I. (2017, June 12). Attention Is All You Need. 31st Conference on Neural Information Processing Systems (NIPS 2017).
Virtanen, A., & Tynjälä, P. (2019). Factors explaining the learning of generic skills: A study of university students’ experiences. Teaching in Higher Education, 24(7), 880–894. https://doi.org/10.1080/13562517.2018.1515195
Vogler, J.S., Thompson, P., Davis, D.W., Mayfield, B.E., Finley, P.M., & Yasseri, D. (2018). The hard work of soft skills: Augmenting the project-based learning experience with interdisciplinary teamwork. Instructional Science, 46(3), 457–488. https://doi.org/10.1007/s11251-017-9438-9
Webb, T., Holyoak, K.J., & Lu, H. (2023). Emergent analogical reasoning in large language models. Nature Human Behaviour. https://doi.org/10.1038/s41562-023-01659-w
Wickramasinghe, V., & Perera, L. (2010). Graduates’, university lecturers’ and employers’ perceptions towards employability skills. Education and Training, 52(3), 226–244. https://doi.org/10.1108/00400911011037355
Wilkinson, G. (2017). Access and the new employability skills. In G. Crosling, & G. Atherton (Eds.), Current and Emerging Themes in Global Access to Post-Secondary Education (GAPS). Emerald Publishing.
Zuber Abd Majid, M., Hussin, M., Norman, M.H., & Kasavan, S. (2020). The employability skills among students of public higher education institution in Malaysia. Geografia - Malaysian Journal of Society and Space, 16(1), 36–45. https://doi.org/10.17576/geo-2020-1601-04
